More Review Statistics

My previous thread about reviews https://www.escort-ireland.com/board...views-not.html seems to have wandered a bit off topic, so I am posting a new one. Most people's intuition is that reviewers with few reviews are often fake. In that thread I posted some statistical evidence in support of this. Unfortunately, counting one time reviewers is not a very reliable way to identify escorts with fake reviews. There just isn't enough data for most escorts.

There is a much better number to use, but it takes a bit of effort to compute: The median number of reviews for her reviewers. What does that mean? Consider Eve. If we go through her reviews and count the number of reviews each reviewer has, and then put them in order, we get these numbers: 1 2 2 2 2 3 3 3 4 5 5 5 5 5 6 6 7 8 9 10 10 11 11 11 12 12 13 13 13 17 18 18 21 21 29 29 29 36 36 36 36 74. I've marked the number in the middle, which is 11. Half of her reviewers have at least that many reviews. This number is the median number of reviews for her reviewers. In general, a higher number is better. As you'll see below, 11 is a very good number.

In general, the higher this number is the more reliable the reviews.
As a measure of reliability of reviews, the median number of reviews for her reviewers has three big advantages:
- It's really hard for an escort to fake it. In Eve's case, if she wanted to raise this number she would have to create several accounts and write at least a dozen reviews from each.
- For most escorts it doesn't change much if we add or remove a few reviews. For example, Eve seems to have attracted a disturbed individual who wrote several reviews under various usernames. Those have been ratted. I haven't removed them from the list above, but it doesn't matter much; Removing them would only change the median from 11 to 12.
- It's pretty reliable even for escorts who don't have a large number of reviews. I would tend to trust it even for escorts who only have 15-20 reviews.

It's a bit of a pain to compute. Fortunately for you, I've computed it for all the escorts with at least 15 reviews, so you don't have to.

Before I give the numbers, there are three biases to be aware of:
- It's biased against new escorts. You can see from the list below that most of the escorts at the high end are either retired or have been here for a long time. There are several reasons for this bias, and there's not much I can do about it.
- It's biased against escorts who see at lot of new clients. It's not quite as bad as counting one time reviewers, but the bias is still there. Again, there is not much I can do about this.
- It's biased against escorts who are unlucky. I said that for most escorts it doesn't change much if we add or remove a few reviews. There are exceptions, like Anna. The numbers of reviews her reviewers have written are: 1 2 5 5 10 10 10 11 12 12 16 16 21 21 21 38 38 38 74. A median of 12 is very good, but she just barely misses 16.
It is very damaging for a new escort who sees a lot of new clients and who is just on the wrong side of a big jump in the number of reviews. I know Karin reads these threads closely, and she will point out that this is exactly her case.

As always, no statistical measure can substitute for reading the reviews!

Now for the numbers. They vary a lot. Anywhere from 1 to 21! I've grouped them by median. Within each group the order is random. I've linked reviews rather than profiles so you can see escorts who have retired or who aren't advertising at the moment. Note that there are often several escorts with the same name; make sure you know which one you are looking at.

“I wish you wouldn’t keep appearing and vanishing so suddenly; you make one quite giddy!”
“All right,” said the Cat; and this time it vanished quite slowly, beginning with the end of the tail, and ending with the grin, which remained some time after the rest of it had gone.

“I wish you wouldn’t keep appearing and vanishing so suddenly; you make one quite giddy!”
“All right,” said the Cat; and this time it vanished quite slowly, beginning with the end of the tail, and ending with the grin, which remained some time after the rest of it had gone.

“I wish you wouldn’t keep appearing and vanishing so suddenly; you make one quite giddy!”
“All right,” said the Cat; and this time it vanished quite slowly, beginning with the end of the tail, and ending with the grin, which remained some time after the rest of it had gone.

“I wish you wouldn’t keep appearing and vanishing so suddenly; you make one quite giddy!”
“All right,” said the Cat; and this time it vanished quite slowly, beginning with the end of the tail, and ending with the grin, which remained some time after the rest of it had gone.

In general, the higher this number is the more reliable the reviews.
As always, no statistical measure can substitute for reading the reviews!

Excellent work again El Gordo !!! I am very confident you are going to find eventually a fool proof scientific way to calculate the credibility of escort reviews, I am just not very sure that the median number is the solution.

The median number could indeed be a very useful tool for calculating the reliability of some escorts.
Why am I saying some instead of all? Because in my opinion, this number would help you decide indeed between some relatively new escorts with only a few reviews and for which no other reliable information is available (like recommendation, lady's own postings etc). If you have to chose between escort A, escort B and escort C (with the reviews as below, there is indeed a much better chance for you to pick escort C in this case:

In conclusion: the median number cannot be used to check if escort reviews are more reliable then others. Who would be more credible, an escort with a third of her reviews ratted & 50 % positive unrated reviews (Mellisa) or an escort with 90 % positive unrated reviews (Kat) or another escort with 97 % of positive unrated reviews (Alyssa) ???

P.S. In reality, as the ladies I picked as an example here have each a sufficient number of reviews to make them very credible as escorts, a punter will see any of the ladies I picked as an example based on how attractive he would find them, their price and their availability. If I am allowed to quote Mr Jolly's joke that he made on your previous thread about reviews: "after several computations, permutation etc ... the one I'm going to see tonite is ... the one with bigger tits ".

P.P.S. I really find your work, your time & efforts simply excellent and I do apologise if my reply to your thread may seem like I contest them. I firmly believe that scientific measures could be useful in this case, I just think that something as simple as the median number is not a measure powerful enough to be applied across all reviews and escorts.

Excellent work again Brother El Gordo.....I can see that you put a lot of thought, time and effort into the statistical analyses of escort reviews and also well done to Karin for her insightful contribution. This could develop into a very usefull thread. My own view, would be that some sort of a formula needs to be devised which takes account of a number of different factors....the desirability of including/excluding compleatly the ratted reviews and N/As is another area for debate.

If you were to take your median value for each escort and contruct a database of these, you would be able to translate these figures into percentile values e.g. an escort with a median of 12 for example, would score better than say 60% of escorts on this measure.

Great work but I think that the results are distorted by multiple reviews from high-number reviewers. Fori nsteance, an escort with only three reviews but all from Skankman would have a number of 108!!!

Great work but I think that the results are distorted by multiple reviews from high-number reviewers. Fori nsteance, an escort with only three reviews but all from Skankman would have a number of 108!!!

Or even if that escort only had one review and it was from Skankman, the value would still be 108.
But those sort of scores would be exceptional and would be way off a normal distribution curve and should therefore be ignored.